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Multi-Task Learning

Multi-task learning aims to learn multiple different tasks simultaneously while maximizing performance on one or all of the tasks.

( Image credit: Cross-stitch Networks for Multi-task Learning )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 3361–3370 of 3687 papers

Title	Date	Tasks	Status	Hype	Score
ECNU: Using Traditional Similarity Measurements and Word Embedding for Semantic Textual Similarity Estimation	Jun 1, 2015	Multi-Task LearningNatural Language Inference	—Unverified	0	0
ECRC: Emotion-Causality Recognition in Korean Conversation for GCN	Mar 16, 2024	Graph Neural NetworkMulti-Task Learning	—Unverified	0	0
Curriculum Learning of Multiple Tasks	Dec 3, 2014	Multi-Task Learning	—Unverified	0	0
EdgeStereo: An Effective Multi-Task Learning Network for Stereo Matching and Edge Detection	Mar 5, 2019	Disparity EstimationEdge Detection	—Unverified	0	0
Edinburgh’s End-to-End Multilingual Speech Translation System for IWSLT 2021	Aug 1, 2021	Data Augmentationfeature selection	—Unverified	0	0
EEGEncoder: Advancing BCI with Transformer-Based Motor Imagery Classification	Apr 23, 2024	ClassificationData Augmentation	—Unverified	0	0
EEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification	Jul 20, 2024	EEGElectroencephalogram (EEG)	—Unverified	0	0
Effective Adaptation in Multi-Task Co-Training for Unified Autonomous Driving	Sep 19, 2022	Autonomous DrivingMulti-Task Learning	—Unverified	0	0
Stance Detection in Code-Mixed Hindi-English Social Media Data using Multi-Task Learning	Jun 1, 2019	Multi-Task LearningSentence	—Unverified	0	0
Varifocal-Net: A Chromosome Classification Approach using Deep Convolutional Networks	Oct 13, 2018	ClassificationGeneral Classification	—Unverified	0	0

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All datasets QM9 Cityscapes test NYUv2 OMNIGLOT CelebA UTKFace wireframe dataset

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	PCGrad	∆m%	125.7	—	Unverified
2	CAGrad	∆m%	112.8	—	Unverified
3	IMTL-G	∆m%	77.2	—	Unverified
4	Nash-MTL	∆m%	62	—	Unverified
5	BayesAgg-MTL	∆m%	53.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SwinMTL	mIoU	76.41	—	Unverified
2	Nash-MTL	mIoU	75.41	—	Unverified
3	MultiObjectiveOptimization	mIoU	66.63	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SwinMTL	Mean IoU	58.14	—	Unverified
2	Nash-MTL	Mean IoU	40.13	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Gumbel-Matrix Routing	Average Accuracy	93.52	—	Unverified
2	Mixture-of-Experts	Average Accuracy	92.19	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MGDA-UB	Error	8.25	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BayesAgg-MTL	delta_m	-2.23	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LETR	FH	83.3	—	Unverified